SUFFICIENT CONDITIONS FOR INSTABILITY OF THE SUBGRADIENT METHOD WITH CONSTANT STEP SIZE.

We provide sufficient conditions for instability of the subgradient method with constant step size around a local minimum of a locally Lipschitz semialgebraic function. They are satisfied by several spurious local minima arising in robust principal component analysis and neural networks. [ABSTRACT FROM AUTHOR]